November 13, 2020

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aryashah2k/Quantum-Computing-Collection-Of-Resources

aryashah2k/Quantum-Computing-Collection-Of-Resources

A Well Maintained Repository On Quantum Computing Resources [Code+Theory] Updated Regularly During My Time At IBM, Qubit x Qubit And The Coding School's Introduction To Quantum Computing Course 21'

repo name aryashah2k/Quantum-Computing-Collection-Of-Resources
repo link https://github.com/aryashah2k/Quantum-Computing-Collection-Of-Resources
homepage
language Jupyter Notebook
size (curr.) 48405 kB
stars (curr.) 29
created 2020-11-11
license MIT License

Quantum-Computing-Collection-Of-Resources

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Hello 👋 And Welcome To This Amazing And Well Maintained Repository On Quantum Computing Resources [Code+Theory] Updated Regularly During My Time At IBM, Qubit x Qubit And The Coding School’s Introduction To Quantum Computing Course 21'

Current and Projected Contents In This Repository:

Guided Project on Programming a Quantum Computer With Qiskit-IBM SDK

Set of Five Tasks with Guide On Programming A Real Quantum Computer With Qiskit-IBM SDK

Task 1: Fundamentals Of Quantum Computing

Task 2: Qubits, Bloch Sphere and Basis States

Task 3: Quantum Gates and Circuits

Task 4: Multiple Qubits, Entanglement

Task 5: Bernstein-Vazirani Algorithm

2.CERN Practical Introduction To Quantum Computing

Lecture 1[Code + Theory]

Lecture 2[Code + Theory]

Lecture 3[Code + Theory]

Lecture 4

Lecture 5

Lecture 6

Lecture 7

3.Cheatsheets

List of Cheatsheets:

1.Quantum Mechanics Cheatsheet

2.Quantum Computing Cheatsheet

3.Mathematics Formula Sheets:

- Algebra Cheatsheet

- Trigonometry - 1 Cheatsheet

- Trigonometry - 2 Cheatsheet

- Calculus - Derivatives Cheatsheet

- Calculus - Integration Cheatsheet

4.Python + Useful Libraries Cheatsheets

- Python Basics Cheatsheet

- Jupyter Notebook Cheatsheet

- NumPy Cheatsheet

- Matplotlib Cheatsheet

4.Mathematics For Quantum Computing In Python

Python Code Implementations of Mathematics Needed For Quantum Computing Linear Algebra Programs, Complex Numbers Programs, Statistics, Trigonometry.

5.Quantum Machine Learning

To Be Added Soon…!

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